| List of contributors | p. xi |
| Foreword | p. xvii |
| Preface | p. xix |
| Dedication | p. xxi |
| Introduction | |
| Spatial soil information systems and spatial soil inference systems: perspectives for digital soil mapping | p. 3 |
| Digital soil mapping: current state and perspectives | |
| A review of digital soil mapping in Australia | p. 25 |
| The state of the art of Brazilian soil mapping and prospects for digital soil mapping | p. 39 |
| The soil geographical database of Eurasia at scale 1:1,000,000: history and perspective in digital soil mapping | p. 55 |
| Developing a Digital Soil Map for Finland | p. 67 |
| Conception and handling of soil databases | |
| Adapting soil data bases practices to the proposed EU Inspire directive | p. 77 |
| Storage, maintenance and extraction of digital soil data | p. 87 |
| Towards a soil information system for uncertain soil data | p. 97 |
| The development of a quantitative procedure for soilscape delineation using digital elevation data for Europe | p. 107 |
| Ontology-based multi-source data integration for digital soil mapping | p. 119 |
| Sampling methods for creating digital soil maps | |
| Optimization of sample configurations for digital mapping of soil properties with universal kriging | p. 137 |
| Latin hypercube sampling as a tool for digital soil mapping | p. 153 |
| Methodology for using secondary information in sampling optimisation for making fine-resolution maps of soil organic carbon | p. 167 |
| Designing spatial coverage samples using the k-means clustering algorithm | p. 183 |
| Adequate prior sampling is everything: lessons from the Ord river basin, Australia | p. 193 |
| New environmental covariates for digital soil mapping | |
| The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes | p. 207 |
| Visible-NIR hyperspectral imagery for discriminating soil types in the La Peyne watershed (France) | p. 219 |
| Land-cover classification from Landsat imagery for mapping dynamic wet and saline soils | p. 235 |
| Producing dynamic cartographic sketches of soilscapes by contextual image processing in order to improve efficiency of pedological survey | p. 245 |
| Conceptual and digital soil-landscape mapping using Regolith-Catenary units | p. 257 |
| Soil prediction with spatially decomposed environmental factors | p. 269 |
| Quantitative modelling for digital soil mapping | |
| Integrating pedological knowledge into digital soil mapping | p. 281 |
| Decomposing digital soil information by spatial scale | p. 301 |
| Digital soil mapping with improved environmental predictors and models of pedogenesis | p. 327 |
| Example of predicting soil classes | |
| A comparison of data-mining techniques in predictive soil mapping | p. 353 |
| Digital soil mapping: An England and Wales perspective | p. 365 |
| Pedogenic understanding raster classification methodology for mapping soils, Powder River Basin, Wyoming, USA | p. 377 |
| Incorporating classification trees into a pedogenic understanding raster classification methodology, Green River Basin, Wyoming, USA | p. 389 |
| Rule-based land unit mapping of the Tiwi Islands, Northern Territory, Australia | p. 401 |
| A test of an artificial neural network allocation procedure using the Czech soil survey of agricultural land data | p. 415 |
| Comparison of approaches for automated soil identification | p. 425 |
| Example of predicting soil attributes | |
| Digital mapping of soil attributes for regional and catchment modelling, using ancillary covariates, statistical and geostatistical techniques | p. 437 |
| Comparing discriminant analysis with binomial logistic regression, regression kriging and multi-indicator kriging for mapping salinity risk in northwest New South Wales, Australia | p. 455 |
| Fitting soil property spatial distribution models in the Mojave Desert for digital soil mapping | p. 465 |
| The spatial distribution and variation of available Phosphorus in agricultural topsoil in England and Wales in 1971, 1981, 1991 and 2001 | p. 477 |
| The population of a 500-m resolution soil organic matter spatial information system for Hungary | p. 487 |
| Regional organic carbon storage maps of the western Brazilian Amazon based on prior soil maps and geostatistical interpolation | p. 497 |
| Improving the spatial prediction of soils at local and regional levels through a better understanding of soil-landscape relationships: soil hydromorphy in the Armorican Massif of western France | p. 507 |
| Quality assessment and representation of digital soil maps | |
| Quality assessment of digital soil maps: producers and users perspectives | p. 523 |
| Using soil covariates to evaluate and represent the fuzziness of soil map boundaries | p. 543 |
| The display of digital soil data, 1976-2004 | p. 555 |
| Are current scientific visualisation and virtual reality techniques capable to represent real soil-landscapes? | p. 571 |
| Author Index | p. 581 |
| Subject Index | p. 595 |
| Colour Plate Section to be found at the end of the book | |
| Table of Contents provided by Ingram. All Rights Reserved. |
